Method and system for extracting key frame from motion capture data and reconstructing motion

Abstract

The invention discloses a method and a system for extracting a key frame from motion capture data and reconstructing motion. According to the invention, the distance between quaternions is used to represent the human body posture difference; the total change on each joint of the human body is used as a frame spacing; the first motion frame is taken as a first key frame; the difference between thecurrent frame and the last key frame is calculated through continuous iteration, frames of which the difference is smaller than the threshold value are eliminated, frames of which the difference exceeds the threshold value are used as key frames and are extracted and stored, and then the extracted key frame set is subjected to motion reconstruction by adopting a quaternion spherical interpolationmethod, so that the original motion capture data has a relatively high compression ratio, and the trueness and fidelity of original animation restoration are ensured.

Description

technical field [0001] The invention relates to the technical field of computer animation production, in particular to a method and system for extracting key frames from motion capture data and reconstructing motion. Background technique [0002] In computer animation, human character animation is an important part, but due to the high degree of freedom of human motion, it is very difficult to create a realistic and realistic motion model. At present, the production of human character animation mainly adopts animation production based on kinematics and animation production based on motion capture data (motion capture data), among which the animation production method based on motion capture data is the most widely used. However, the motion capture data is obtained at a relatively high sampling frequency, with an average of dozens or even hundreds of frames per second, and each frame contains the rotation information of a dozen or even dozens of joint points. The obtained dat...

AI Technical Summary

Problems solved by technology

However, the motion capture data is obtained at a relatively high sampling frequency, with an average of dozens or even hundreds of frames per second, and each frame contains the rotation information of a dozen or even dozens of joint points. The obtained data is huge and meaningful. A large amount of data redundancy is not conducive to the compression, storage, retrieval and further reuse of motion capture data, so it is necessary to extract key frames representing the content of motion data

However, the existing key frame extraction methods are difficult to accurately extract key frames, resulting in poor authenticity and fidelity of motion postures reconstructed from key frames, which cannot be applied to human character animation production

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